• 关注领域：

• AIGC
  

• 3D computer vision learning

• Fine-grained learning

• GNN

• 其他
  

• 声明
  

• 论文较多，时间有限，本专栏无法做文章的讲解，只挑选出符合PaperABC研究兴趣和当前热点问题相关的论文，如果你的research topic和上述内容有关，那本专栏可作为你的论文更新源或Paper reading list．

Paper list:

今日ArXiv共更新136篇

NeRF

Persistent Nature: A Generative Model of Unbounded 3D Worlds

https://arxiv.org/pdf/2303.13515.pdf

AIGC

Ablating Concepts in Text-to-Image Diffusion Models

https://arxiv.org/pdf/2303.13516.pdf

CMU朱俊彦团队的工作，解决了文本生成图像时版权信息消除的问题．

DreamBooth3D: Subject-Driven Text-to-3D Generation

https://arxiv.org/pdf/2303.13508.pdf

不多介绍了，大神云集，爆火工作！太卷了！

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

https://arxiv.org/pdf/2303.13455.pdf

UCLA的新作，一个大模型可以支持很多下游任务．不限于生成．

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

https://arxiv.org/pdf/2303.13439.pdf

文本驱动的视频生成方向，很惊讶这个领域发展的这么快！

TriPlaneNet: An Encoder for EG3D Inversion

https://arxiv.org/pdf/2303.13497.pdf

VLP

The effectiveness of MAE pre-pretraining for billion-scale pretraining

https://arxiv.org/pdf/2303.13496.pdf

Ross Girshick大神的工作．探讨了MAE在billion-scale层面的预训练方法．

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations

https://arxiv.org/pdf/2303.13483.pdf